The article outlines a workflow for effectively reviewing pull requests (PRs) using AI coding assistants. It emphasizes the importance of human involvement in PR reviews, detailing steps to analyze changes, assess impacts, and provide feedback efficiently. The author shares tools and commands to enhance the review process while minimizing time spent.

Effective code review is essential for maintaining code quality and understanding long-term implications, especially as AI-generated code increases the volume and complexity of commits. Developers must adapt to a more senior-level mindset early in their careers due to the rapid output of AI tools, which can complicate traditional review processes. While AI can assist in code review by identifying patterns and style issues, it cannot replace the nuanced judgment of human reviewers, making collaboration between AI and developers crucial for maintaining code integrity.